Generative Pretraining From Pixels. - Mark Chen 003; Alec Radford; Rewon Child; Jeffrey Wu 003; Heewoo Jun; David Luan; Ilya Sutskever (ICML, 2020)

Distribution Augmentation for Generative Modeling. - Heewoo Jun; Rewon Child; Mark Chen 003; John Schulman; Aditya Ramesh; Alec Radford; Ilya Sutskever (ICML, 2020)

Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Zero-Shot Text-to-Image Generation. - Aditya Ramesh; Mikhail Pavlov; Gabriel Goh; Scott Gray; Chelsea Voss; Alec Radford; Mark Chen 003; Ilya Sutskever (ICML, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Training Verifiers to Solve Math Word Problems. - Karl Cobbe; Vineet Kosaraju; Mohammad Bavarian; Mark Chen 003; Heewoo Jun; Lukasz Kaiser; Matthias Plappert; Jerry Tworek; Jacob Hilton; Reiichiro Nakano; Christopher Hesse; John Schulman (CoRR, 2021)

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models. - Alexander Quinn Nichol; Prafulla Dhariwal; Aditya Ramesh; Pranav Shyam; Pamela Mishkin; Bob McGrew; Ilya Sutskever; Mark Chen 003 (ICML, 2022)

Hierarchical Text-Conditional Image Generation with CLIP Latents. - Aditya Ramesh; Prafulla Dhariwal; Alex Nichol; Casey Chu; Mark Chen 003 (CoRR, 2022)

Efficient Training of Language Models to Fill in the Middle. - Mohammad Bavarian; Heewoo Jun; Nikolas Tezak; John Schulman; Christine McLeavey; Jerry Tworek; Mark Chen 003 (CoRR, 2022)

Point-E: A System for Generating 3D Point Clouds from Complex Prompts. - Alex Nichol; Heewoo Jun; Prafulla Dhariwal; Pamela Mishkin; Mark Chen 003 (CoRR, 2022)

Consistency Models. - Yang Song; Prafulla Dhariwal; Mark Chen 003; Ilya Sutskever (ICML, 2023)

Competitive Programming with Large Reasoning Models. - Ahmed El-Kishky; Alexander Wei; Andre Saraiva 001; Borys Minaiev; Daniel Selsam; David Dohan; Francis Song; Hunter Lightman; Ignasi Clavera Gilaberte; Jakub Pachocki; Jerry Tworek; Lorenz Kuhn; et al. (CoRR, 2025)

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. - Tomek Korbak; Mikita Balesni; Elizabeth Barnes; Yoshua Bengio; Joe Benton; Joseph Bloom; Mark Chen 003; Alan Cooney; Allan Dafoe; Anca D. Dragan; Scott Emmons; Owain Evans; et al. (CoRR, 2025)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)